Several impressive 2D object detection (YOLOv3 [1]}, SSD [2]}, Faster-RCNN [3]}) and semantic segmentation networks (PSPNet [4]}, Mask-RCNN [5]}) based on deep neural networks, have recently been proposed. StalkNet [6]} proposed an image processing pipeline used to measure stalk width. It used a Faster-RCNN network for image detection and a Fully Convolutional Network (FCN) to segment stalks. Ellipses are then fitted to the segmented stalks and used to measure their width. [7]} improved the segmentation accuracy of StalkNet by using an image-to-image translation conditional adversarial network “pix2pix" [8]} as the segmentation network.
